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Computational and Evolutionary Analysis of HIV Molecular Sequences Allen G Rodrigo 2001 edition
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Computational and Evolutionary Analysis of HIV Molecular Sequences
Allen G Rodrigo
Computational and Evolutionary Analysis of HIV Molecular Sequences is for all researchers interested in HIV research, even those who only have a nodding acquaintance with computational biology (or those who are familiar with some, but not all, aspects of the field).
Marc Notes: Includes bibliographical references and index. Table of Contents: Preface. 1. Sampling and Processing HIV Molecular Sequences: a Computational Evolutionary Biologist's Perspective; A. G. Rodrigo, et al. 2. Accessing HIV Molecular Information; B. T. Foley. 3. HIV-1 Subtyping; C. L. Kuiken, T. Leitner. 4. HIV Sequence Signatures and Similarities; B. Korber. 5. Graphical Methods for Exploring Sequence Relationships; G. F. Weiller. 6. Quantifying Heterogeneity in the HIV Genome; H. P. Pinheiro, F. Seillier-Moisewitsch. 7. Phylogenetics of HIV; D. Posada, et al. 8. Goals and Strategies for Analysis of Recombination Among Molecular Sequences; J. C. Stephens. 9. Molecular Population Genetics: Coalescent Methods Based on Summary Statistics; D. A. Vasco, et al. 10. Population Genetics of HIV: Parameter Estimation Using Genealogy-Based Methods; P. Beerli, et al. 11. Detecting Selection in Protein Coding Genes Using the Rate of Nonsynonymous and Synonymous Divergence; R. Neilsen. 12. Drugs Targeted at HIV - Successes and Resistance; C. Sansom, A. Wlodawer. Index. Review Citations:
Scitech Book News 03/01/2001 pg. 77 (EAN 9780792379942, Hardcover)
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